Abstract: An assembly is provided for a turbine engine with a flowpath. This turbine engine assembly includes a fuel injection system. The fuel injection system includes a first fuel injector and a second fuel injector. The fuel injection system is configured to provide the first fuel injector with first fuel and provide the second fuel injector with second fuel. The first fuel may be or include ammonia. The second fuel is different than the first fuel. The second fuel may be or include hydrogen gas. The first fuel injector is configured to direct the first fuel into the flowpath for combustion. The second fuel injector is configured to direct the second fuel into the flowpath for combustion.

Abstract: Certain exemplary embodiments can provide a method comprising, responsive to a determination that a machine-readable two-dimensional code has been identified in a first image, said first image comprising a first plurality of pixels defining said machine-readable two-dimensional code and second plurality of pixels defining a non-code zone, automatically causing a saving or displaying of a second image that comprises said machine-readable two-dimensional code or a representation of said machine-readable two-dimensional code and that excludes said non-code zone.

Abstract: A method of providing at least one recommended view to a user at a current geographic location that the user can use in composing images, comprising using a processor to provide the following steps using the geographic location of the user to obtain, from a database, images that were previously taken around the current geographic location; grouping the obtained images into clusters that correspond to distinct scenes; selecting a recommended view for each distinct scene using an image; and presenting the recommended view(s) to the user for consideration in composing images.

Abstract: Systems and methods of providing behavioral modification information to one or more participants of a communication. Information related to a communication between a first and second participant is obtained and used to identify behavioral modifications for at least one of the first and second participants. The behavioral modifications can be output to a display for a human to interpret. When one of the participants is computer-generated the behavioral modifications can be output to control the computer-generated participant.

Abstract: A method of processing an image to form an image pyramid having multiple image levels includes receiving a base level image comprising pixel values at pixel locations arranged in rows and columns; determining sample locations for a next level image in the pyramid such that the sample locations are arranged in a regular pattern and the sample locations exceed the range of the pixel locations of the base level image; determining the pixel values of the next level image by interpolating the pixel values of the base level image using an interpolation filter at the sample locations; and treating the next level image as the base level image and repeating steps of determining sample locations and pixel values until a predetermined number of pyramid image levels are generated, or until a predetermined condition is met.

Abstract: A method of determining the orientation of a scanned digital image having an image side and a non-image side, includes scanning a hardcopy medium to produce a scanned digital image; scanning the non-image side of the hardcopy medium; detecting handwritten annotations in either the scanned digital image or the scan of the non-image side of the hardcopy medium; determining handwritten annotation features related to the handwritten annotations; using the annotation orientation features to determine the orientation of the scanned digital image; and storing the determined orientation of the scanned digital image

Abstract: In an image enhancement method, a regular enhancement function and an aggressiveness parameter are computed using characteristics of a digital image. A first, relatively slow enhancement algorithm is applied to the digital image using the regular enhancement function, when an aggressiveness parameter is in a predetermined high range. A second, relatively fast enhancement algorithm is applied to the digital image using the regular enhancement function, when an aggressiveness parameter is in a predetermined low range. A modified enhancement function is calculated using characteristics of the digital image and is used with a second, relatively fast enhancement algorithm, when the aggressiveness parameter is in a predetermined medium range.

Abstract: Certain exemplary embodiments can provide a method comprising, responsive to a determination that a machine-readable two-dimensional code has been identified in a first image, said first image comprising a first plurality of pixels defining said machine-readable two-dimensional code and second plurality of pixels defining a non-code zone, automatically causing a saving or displaying of a second image that comprises said machine-readable two-dimensional code or a representation of said machine-readable two-dimensional code and that excludes said non-code zone.

Abstract: A method for estimating a noise characteristic value for a plurality of digital images that are affected by a common noise source includes receiving a plurality of source digital images that are affected by a common noise source, each source digital image including a plurality of pixels; calculating a total number of pixels included in the source digital images; and receiving a predetermined target number of noise estimates to be calculated for the source digital images. The method also includes using the total number of pixels and the predetermined target number of noise estimates to calculate one or more pixel sampling parameters for the source digital images; using the source digital images and the one or more pixel sampling parameters to calculate a predetermined number of noise estimates; and using the noise estimates to calculate a noise characteristic value for the source digital images.

Abstract: A method of processing an image to form an image pyramid having multiple image levels includes receiving a base level image comprising pixel values at pixel locations arranged in rows and columns; determining sample locations for a next level image in the pyramid such that the sample locations are arranged in a regular pattern and the sample locations exceed the range of the pixel locations of the base level image; determining the pixel values of the next level image by interpolating the pixel values of the base level image using an interpolation filter at the sample locations; and treating the next level image as the base level image and repeating steps of determining sample locations and pixel values until a predetermined number of pyramid image levels are generated, or until a predetermined condition is met.

Abstract: A method for estimating a noise characteristic value for a plurality of digital images that are affected by a common noise source includes receiving a plurality of source digital images that are affected by a common noise source, each source digital image including a plurality of pixels; calculating a total number of pixels included in the source digital images; and receiving a predetermined target number of noise estimates to be calculated for the source digital images. The method also includes using the total number of pixels and the predetermined target number of noise estimates to calculate one or more pixel sampling parameters for the source digital images; using the source digital images and the one or more pixel sampling parameters to calculate a predetermined number of noise estimates; and using the noise estimates to calculate a noise characteristic value for the source digital images.